Amazon Quick Reviews & Product Details

Amazon QuickSight makes it straightforward to build interactive dashboards and enable self-service analytics without having to manage BI infrastructure. I especially like SPICE (Super-fast, Parallel, In-memory Calculation Engine), which delivers excellent dashboard performance even with large datasets, along with capabilities such as ML Insights, anomaly detection, forecasting, and natural language querying through QuickSight Q.

The UI feels intuitive for creating visualisations with drag-and-drop, while still supporting advanced calculated fields and custom visuals when you need more control. It also integrates natively with AWS data services, so analysts can connect directly to cloud data sources with minimal setup. For organisations already using AWS, it can provide a strong ROI by removing the overhead of managing BI servers and offering pay-per-session pricing for readers. Review collected by and hosted on G2.com.

Complex dashboard layouts and calculated fields can become difficult to manage as reports grow larger. Some advanced visualisation and formatting capabilities are still less flexible than long-established BI platforms like Tableau or Power BI. Performance also depends on whether datasets are imported into SPICE or queried directly. Review collected by and hosted on G2.com.

What I like most about Amazon QuickSight is how quickly it can analyze large datasets without requiring a heavy setup. The SPICE engine helps keep dashboards fast and responsive, even when workloads get complex. I also appreciate its native integration with AWS services, which streamlines the analytics pipeline and makes data ingestion and automation feel effortless. The interface is intuitive, so it’s easy to build clean, insightful visualizations in just a few minutes. With its fully serverless architecture, QuickSight also removes much of the maintenance overhead and scales automatically, which makes it a reliable and efficient BI solution for modern data teams. Review collected by and hosted on G2.com.

What I dislike about Amazon QuickSight is that some advanced configuration options feel buried, so fine-tuning complex dashboards can take longer than it should. The flexibility around custom visuals and layout is still limited compared with more mature BI tools, which can make it harder to produce highly tailored reports. The learning curve can also be steep for non-technical users, particularly when you’re integrating multiple AWS data sources. Pricing can become less predictable at scale as well, especially if SPICE capacity needs to be expanded frequently. Overall, it’s a powerful platform but can feel rigid at times, especially for teams that need deep customization and fully polished, enterprise-grade dashboards. Review collected by and hosted on G2.com.

Amazon Quick allows us to connect several of our systems to one area and is used company wide by all levels of the business. its performance is great and support is quick and very useful. The AI needs improving but is capable for lower levels needs and compared to other similar sites, the pricing is reasonable. Review collected by and hosted on G2.com.

It can be a little clunky, a bit of modernisation would go a long way and more easy access support would be good. Its a simple system but okay for day-to-day use Review collected by and hosted on G2.com.

I like Amazon QuickSight's serverless architecture, which eliminates the need to manage infrastructure capacity. The pay-per-session pricing is cost-effective for me. I also appreciate the embedded analytics and the powerful ML insights, particularly the forecasting capabilities that help my team plan ahead with predictive models. The ease of use is another aspect I enjoy, especially the drag-and-drop interface that makes it user-friendly and quick to set up. Review collected by and hosted on G2.com.

I think it lags a little, and sometimes it crashes. It would be better if I had the ease to quickly download the data and the backdated data. Review collected by and hosted on G2.com.

The best thing I like about Amazon Quicksight is how easily it help turns raw data into intercatibe dashboard and visualisation. It helps detects pattern trends and what is working and what is not. It helps monitor a process effectively. Review collected by and hosted on G2.com.

There are two disadvantages. One it works well only in Amazon ecosystem with AWS it is not that flexible and ui in terms of tool like tableau or power bi. Also it cannot be customized much according to need. Advancced use cases are difficult to solve. Also the tool requires little learning approach and cannot autonaticallu work Review collected by and hosted on G2.com.

I like that Amazon Quick handles massive datasets without slowing down, which is really important for my work. Its embedded feature also works really well, making it more convenient to use. Review collected by and hosted on G2.com.

I find the limited advanced visualization capabilities frustrating as it restricts the depth of data analysis I can perform. Additionally, the login process was a bit of a problem. It was confusing with the SSO login options, and I faced several issues due to cache problems which made it difficult to access my account smoothly. Review collected by and hosted on G2.com.

New features have been added to Amazon QuickSight, including the new QuickSuite UI. Features like chat/AI search make it easier to learn more about reports, and they help users a lot. Even when there are gaps that weren’t explained in the analysis, it becomes easier for business stakeholders to review and understand the report. This new compatibility with the AI chatbot is great. The new charts that have been added also give more exposure and encourage me to explore QuickSight more as a tool. A lot of seminars have also happened to build more awareness, so overall it feels like a great community. Review collected by and hosted on G2.com.

It still feels limited due to the lack of customization options. I also feel it has fewer chart types than I need, and it could include more chart options overall. Sometimes, depending on the data size, the Spice engine refresh is a bit slow and takes time. Review collected by and hosted on G2.com.

Amazon QuickSight demonstrates high scalability, and this gives us a clear dashboard that supports data visualization

The program has a favorable pricing model that makes it cost effective and preferable

We have no complexities in integrating the program with other AWS services and this supports comprehensive analytics, even with large datasets

The program has minimal set up requirements and no extra infrastructure deployment that is needed

Amazon QuickSight has an automated workflow support, more so in feedback and insights capturing.

We get seamless sharing and collaboration and this improves productivity and ensures data security Review collected by and hosted on G2.com.

Amazon QuickSight has a problem in advanced visualization and this makes it less likely to be used by some users

The dashboard lacks modernization and this makes it inefficient and boring Review collected by and hosted on G2.com.

I like that Amazon QuickSight is very easy to use and extremely user-friendly. It allows connecting different data sources and building visualization dashboards very easily. This makes real-time analysis simple and fast, which is valuable for knowing how my cloud cost implementation is doing. Review collected by and hosted on G2.com.

Perhaps an integration with many more data sources could be one of the points, and a generation of real-time analytics of my costs. I think that would be it. Review collected by and hosted on G2.com.

I can create charts and dashboards easily, and it integrates with Redash. It also lets me create calculated columns and metrics, and everything can be updated based on live data. Review collected by and hosted on G2.com.

Downloading data is a bit slow. For example, downloading around 400 MB can take more than 10 minutes. The UI could also be more interactive, and the query language feels a bit different from standard PostgreSQL or MySQL. Review collected by and hosted on G2.com.